Leah A. Comment
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
Papers in
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- Advanced Causal Inference Techniques 5
- Statistical Methods in Clinical Trials 4
- Statistical Methods and Inference 2
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- Cancer Genomics and Diagnostics 6
- Co-authors
- Bruce Robinson (1 shared paper)Francesca Tentori (1 shared paper)Ananda Sen (1 shared paper)Brenda W. Gillespie (1 shared paper)Angelo Karaboyas (1 shared paper)Ronald L. Pisoni (1 shared paper)Mark R. Marshall (1 shared paper)Brian Bieber (1 shared paper)
- Journals
- Nature Communications (1 paper)JCO Precision Oncology (1 paper)Clinical Pharmacology & Therapeutics (1 paper)npj Precision Oncology (1 paper)The Oncologist (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Leah A. Comment
15 papers receiving 217 citations
Peers
Comparison fields: 5 of 70
- Nephrology 91
- Statistics and Probability 30
- Geriatrics and Gerontology 13
- Cancer Research 42
- Emergency Medical Services 11
Countries citing papers authored by Leah A. Comment
This map shows the geographic impact of Leah A. Comment's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leah A. Comment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah A. Comment more than expected).
Fields of papers citing papers by Leah A. Comment
This network shows the impact of papers produced by Leah A. Comment. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leah A. Comment. The network helps show where Leah A. Comment may publish in the future.
Co-authors
The 25 scholars most cited alongside Leah A. Comment, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 116 | |
| 2 | 2021 | 29 | |
| 3 | 2012 | 16 | |
| 4 | 2022 | 15 | |
| 5 | 2022 | 13 | |
| 6 | 2024 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2023 | 1 |
About Leah A. Comment
Leah A. Comment is a scholar working on Statistics and Probability, Cancer Research, Pulmonary and Respiratory Medicine, Economics and Econometrics and Oncology, having authored 15 papers that have together received 227 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Advanced Causal Inference Techniques (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Lung Cancer Treatments and Mutations (4 papers), Statistical Methods in Clinical Trials (4 papers), Statistical Methods and Inference (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Aortic aneurysm repair treatments (1 paper). The work is most often cited by research in Nephrology (91 citations), Statistics and Probability (30 citations), Geriatrics and Gerontology (13 citations), Cancer Research (42 citations) and Emergency Medical Services (11 citations). Leah A. Comment has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Bruce Robinson, Francesca Tentori, Ananda Sen, Brenda W. Gillespie, Angelo Karaboyas, Ronald L. Pisoni, Mark R. Marshall, Brian Bieber, Shunichi Fukuhara and Patricia de Sequera. Their work appears in journals such as Nature Communications, JCO Precision Oncology, Clinical Pharmacology & Therapeutics, npj Precision Oncology and The Oncologist.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.